python - Accessing Clustering Feature Tree in Birch -


i have data set, has n_samples=200, n_features=22.

  • how can access clustering feature tree in birch?

  • for example, how many clusters there in hierarchy under root node , data samples in cluster?

  • can them separately 3 trees?

i appreciate if answer me. thanks.

best.

**birch implementation code**  sklearn.cluster import birch sklearn.externals import joblib import numpy np import matplotlib.pyplot plt time import time sklearn.datasets.samples_generator import make_blobs  x=np.loadtxt(open("c:\dataset.txt", "rb"), delimiter=";")  brc = birch(branching_factor=50, n_clusters=none, threshold=0.5,compute_labels=true,copy=true)  brc.fit(x)    birch_predict=brc.predict(x) print ("\nclustering_result:\n") print (birch_predict)  np.savetxt('birch_predict_class_0.csv', birch_predict,fmt="%i", delimiter=',')  myroot = brc.root_  centroids = brc.subcluster_centers_ plt.plot(x[:,0], x[:,1], '+') plt.plot(centroids[:,0], centroids[:,1], 'o') plt.show()  labels = brc.subcluster_labels_  n_clusters = np.unique(labels).size print("n_clusters : %d" % n_clusters + "\n")


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